Using the data obtained

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You will be able to create a high-quality semantic core .

Neglecting masks
Masks are the main keys that cover all the others. Masks should contain specifics.

For example, your client is a developer who sells apartments in Cyprus. It is unrealistic to parse the semantic core for the query "apartments", since the number of results can exceed several million. If the apartment complex is located in northern Cyprus, then you need to add this phrase, and then the mask will look like this: "apartments in northern Cyprus".

It is necessary to work out masks in great detail, taking into account all synonyms and language norms.

To expand the mask, you can use cell phone number list specific names of residential complexes or construction companies.

Omission #4 - Lack of Operators
To expand the mask, you need to use the following operators:

() and | - with their help you can automatically group words;

Shallow Clustering
If you plan to collect a large semantic core, then clustering is a must. With the help of clustering, the obtained semantics are divided according to logic.

Approaches to clustering can be varied.

Frequency - division occurs according to the frequency of requests, including low-frequency, mid-frequency and high-frequency.

If clustering is carried out according to the purpose of semantics, then the following queries can be distinguished among them:

transactional - calls the user to action;
informational - allow you to find an answer to a specific question;
navigational - lead users to the desired site;
neutral - they cannot be classified into any of the varieties.